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Updated: Jun 13, 2026

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开发和验证一个深度学习算法,用于预测儿科的超声波图像和X射线图像中的复发性肠接

Yu-Feng Qian1, Wan-Liang Guo2

  • 1Department of Radiology, Children's Hospital of Soochow University, Suzhou, China.

BMC medical imaging
|March 3, 2025
PubMed
概括

使用超声波和X射线图的深度学习模型可以预测反复发生的内. 多模式成像融合显著提高了预测准确性,为临床使用提供了有前途的工具.

关键词:
深度学习是一种深度学习.输入性受精 (Intussusception) 这是一个非常重要的过程.预测模型的预测模型.复发情况 复发情况

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Imperfections in Crystal Structure: Stoichiometric Point Defects01:26

Imperfections in Crystal Structure: Stoichiometric Point Defects

Schottky defects arise when some lattice points in a crystal, such as those in NaCl, remain unoccupied, creating lattice vacancies without disturbing the overall electrical neutrality of the crystal. This defect is common in ionic crystals where the positive and negative ions are similar in size, as seen in sodium chloride and cesium chloride. The presence of Schottky defects enables the crystal to conduct electricity to a small extent through an ionic mechanism. Electric fields cause nearby...